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Temperament and Mood Detection Using Case-Based Reasoning
- Source :
- International Journal of Intelligent Systems and Applications. 6:50-61
- Publication Year :
- 2014
- Publisher :
- MECS Publisher, 2014.
-
Abstract
- Case-Based Reasoning (CBR) is a branch of AI that is employed to solving problems which emphasizes the use of previous solutions in solving similar new problems. This work presents TAMDS, a Temperament and Mood Detection system which employs Case-Based Reasoning technique. The proposed system is adapted to the field of psychology to help psychologists solve part of the problems in their complex domain. We have designed TAMDS to detect temperament and moods of individuals. A major aim of our system is to help individuals who are out of reach of a professional psychologist to manage their personality and moods because as humans, moods affect our perceptions, personal health, the way we view the world around us and the way we react to it.
- Subjects :
- Control and Optimization
Computer Networks and Communications
Computer science
business.industry
media_common.quotation_subject
Affect (psychology)
Field (computer science)
Computer Science Applications
Domain (software engineering)
Human-Computer Interaction
Mood
Artificial Intelligence
Modeling and Simulation
Perception
Signal Processing
Personality
Case-based reasoning
Temperament
Artificial intelligence
business
media_common
Cognitive psychology
Subjects
Details
- ISSN :
- 20749058 and 2074904X
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- International Journal of Intelligent Systems and Applications
- Accession number :
- edsair.doi...........73a7d3c1e4a9d0a9f656580a9a11ea40
- Full Text :
- https://doi.org/10.5815/ijisa.2014.03.05